DocumentCode
1157240
Title
An IIR parallel-type adaptive algorithm using the fast least squares method
Author
Kurosawa, Kaoru ; Tsujii, Shigeo
Author_Institution
Graduate Sch., Tokyo Inst. of Tech., Yokohama, Japan
Volume
37
Issue
8
fYear
1989
fDate
8/1/1989 12:00:00 AM
Firstpage
1226
Lastpage
1230
Abstract
A parallel-type adaptive algorithm is proposed which utilizes the fast least-squares method. Its computational complexity is much less than that of L. Landau´s (1978) method, which is based on hyperstability theory Hyperstability requires much computation because it involves matrix operations. The proposed method has nothing to do with hyperstability. It is also shown theoretically and using computer simulation, that the convergence performance of the proposed method is better than that of the series-parallel-type fast least-squares method
Keywords
adaptive filters; filtering and prediction theory; least squares approximations; IIR parallel-type adaptive algorithm; computer simulation; fast least squares method; filtering; hyperstability theory; matrix operations; Adaptive algorithm; Adaptive systems; Computational complexity; Computer simulation; Convergence; Equations; Least squares methods; Performance analysis; Signal processing algorithms; Stability;
fLanguage
English
Journal_Title
Acoustics, Speech and Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
0096-3518
Type
jour
DOI
10.1109/29.31270
Filename
31270
Link To Document